File size: 2,471 Bytes
448d6a5 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 | """Finalize: upload reproduction bundle as an HF Dataset, register the trackio
artifact (so publish rewrites the Conclusion cell to a bucket URL), and add both
the dataset and the logbook Space to the collection."""
import os, sys, glob
from huggingface_hub import HfApi, upload_folder, create_repo, whoami, add_collection_item
BASE = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
sys.path.insert(0, os.path.join(BASE, "src"))
ME = whoami()["name"]
DATASET = f"{ME}/mindflow-repro-bundle"
COLLECTION = os.environ.get("MINDFLOW_COLLECTION", "") # slug
SPACE = f"{ME}/repro-mindflow-mind-supernet-powered-thinking-flows-for-research-idea-innovation"
IGNORE = ["llm_cache/*", "**/__pycache__/*", ".trackio/*", "tools/posterly/*", "or_*.json",
"chal_*.json", "*.pyc", "paper.pdf", "outputs/poster/_poster_full.html", "or_notes.json"]
def upload_dataset():
create_repo(DATASET, repo_type="dataset", exist_ok=True)
upload_folder(folder_path=BASE, repo_id=DATASET, repo_type="dataset",
ignore_patterns=IGNORE, commit_message="MindFlow reproduction bundle")
print("dataset:", f"https://huggingface.co/datasets/{DATASET}", flush=True)
def register_artifact():
import trackio
# register from within the logbook workspace so publish uploads it to the bucket
os.chdir(BASE)
try:
trackio.init(project="repro-mindflow-mind-supernet-powered-thinking-flows-for-research-idea-innovation")
except Exception as e:
print("trackio.init note:", str(e)[:120], flush=True)
art = trackio.log_artifact(BASE, name="repro-bundle", type="dataset")
print("registered artifact:", getattr(art, "name", art), flush=True)
try:
trackio.finish()
except Exception:
pass
def add_to_collection():
if not COLLECTION:
print("no collection slug set", flush=True); return
for item_id, item_type in [(DATASET, "dataset"), (SPACE, "space")]:
try:
add_collection_item(COLLECTION, item_id=item_id, item_type=item_type, exists_ok=True)
print("added to collection:", item_id, flush=True)
except Exception as e:
print("collection add note:", item_id, str(e)[:120], flush=True)
if __name__ == "__main__":
what = sys.argv[1:] or ["dataset", "collection"]
if "dataset" in what: upload_dataset()
if "artifact" in what: register_artifact()
if "collection" in what: add_to_collection()
print("finalize done.")
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